Demo Data from SIGIR 2026 / reviewers in the wild / expert
Xing Wang Deng
dblp:48/271
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
2 papers |
Bioinformatics and computational biology · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
comparative genomics |
0.1 | 1 | 2009 | Transcriptionally active gene fragments derived from potentially fast-evolving donor genes in the rice genome · Bioinform. 2009 |
Bioinformatics and computational biology
transcriptomics |
0.1 | 1 | 2009 | Transcriptionally active gene fragments derived from potentially fast-evolving donor genes in the rice genome · Bioinform. 2009 |
Bioinformatics and computational biology › gene expression analysis
microarray data analysis |
0.1 | 1 | 2006 | NMPP: a user-customized NimbleGen microarray data processing pipeline · Bioinform. 2006 |
Bioinformatics and computational biology › molecular evolution › evolutionary bioinformatics › evolutionary genomics
genome evolution |
0.0 | 1 | 2009 | Transcriptionally active gene fragments derived from potentially fast-evolving donor genes in the rice genome · Bioinform. 2009 |
Methods — techniques the papers use, named apart from their topics
spatial effect smoothing · 0.1multi-array normalization · 0.1gene expression summarization · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Transcriptionally active gene fragments derived from potentially fast-evolving donor genes in the rice genomeabstractThe unprecedented complexity of the transcriptomic data obtained in recent years creates opportunities for new genomic studies aimed at interpolating regulatory code of gene expression and tracing genome evolution. We report here the identification and characterization of a set of 851 intergenic loci that represent transcribed gene fragments (TGFs) ectopically duplicated from 1030 non-transposable element (non-TE) donor genes in the rice genome. We analyzed the genomic context of the TGFs and donor genes. We show that the TGFs have adopted transcriptional orientation and pattern independent of the donor genes. We further show that TGFs have undergone relaxed purifying selection, consistent with their being pseudogenized. We found that the donor genes, which are biased toward certain molecular functions, exhibit an accelerated evolution rate comparing to the genome average. Our results demonstrated a large number of actively TGFs in the rice genome and shed light on the origin, mode of action and function of the TGFs. Xiangfeng Wang 0003, Zhihui Yu, Xiaozeng Yang, Xing Wang Deng |
Bioinform. | 4 |
| 2006 | NMPP: a user-customized NimbleGen microarray data processing pipelineabstractAbstract Summary: NMPP package is a bundle of user-customized tools based on established algorithms and methods to process self-designed NimbleGen microarray data. It features a command-line-based integrative processing procedure that comprises five major functional components, namely the raw microarray data parsing and integrating module, the array spatial effect smoothing and visualization module, the probe-level multi-array normalization module, the gene expression intensity summarization module and the gene expression status inference module. Availability: Contact: [email protected] Supplementary information: The supplementary materials, figures, testing dataset, software instructions and a typical workflow of using NMPP package are accessible through the above homepage. Xiangfeng Wang 0003, Hang He, Runsheng Chen, Xing Wang Deng, Songgang Li |
Bioinform. | 5 |